erer (version 3.0)

daIns: Liability Insurance Coverage for Hunters and Anglers in Mississippi

Description

This data set contains a survey result about liability insurance purchase decision by hunters and anglers in Mississippi. There are 1653 observations for 14 variables.

Y	Binary dependent variable = 1 if had liability insurance; 0 otherwise
Injury	Times of bodily injuries or property damages in the past three years
HuntYrs	Years of hunting
Nonres	Dummy = 1 if nonresidents; 0 if Mississippi residents
Lspman	Dummy = 1 if purchased the license of resident sportsman; 0 otherwise
Lnong	Dummy = 1 if purchased the license of nonresident all game; 0 otherwise
Gender	Dummy = 1 if male; 0 otherwise
Age	Age of the hunter or angler
Race	Dummy = 1 if Caucasian; 0 otherwise
Marital	Dummy = 1 if married; 0 otherwise
Edu	Years of education
Inc	Household income in 2004 (1,000 dollars)
TownPop	Population size of the residence town (1,000)
FishYrs	Years of fishing

Usage

data(daIns)

Format

A cross sectional data with 1653 observations and 14 variables.

Details

The data set is from a telephone survey conducted in 2005 in Mississippi.

See Also

daInsNam

Examples

# NOT RUN {
data(daIns)
class(daIns); dim(daIns)
head(daIns); tail(daIns)

ra <- glm(formula = Y ~ Injury + HuntYrs + Nonres +
                    Lspman + Lnong + Gender + Age +
                    Race + Marital + Edu + Inc + TownPop,
          family = binomial(link="logit"),
          data = daIns, x = TRUE, y= TRUE)
names(ra); summary(ra)

(ins.me <- maBina(w = ra))
(ins.mt <- maTrend(q=ins.me, nam.c="Age", nam.d="Nonres"))
plot(ins.mt)
# }